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AN ANALYSIS OF VARIATION IN THE WAGE RATES OF PERMANENT FARM SERVANTS ACROSS DIFFERENT ZONES OF HARYANA

2022· article· en· W4400694043 on OpenAlexaff
Gaurav Saini

Bibliographic record

VenueInternational Journal of Social Science and Economic Research · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Practices
Canadian institutionsGovernment of Nunavut
Fundersnot available
KeywordsVariation (astronomy)WageDemographic economicsRegional variationStatisticsGeographyEconomicsLabour economicsBusinessMathematicsAdvertising

Abstract

fetched live from OpenAlex

There are two types of hired labour used in Haryana Agriculture i.e. permanent farm servants and casual agricultural labourers. Casual agricultural labourers are generally hired on daily basis and permanent farm servants are employed on annual basis. The permanent farm servant is key component of agricultural hired labour in Haryana. However, there is almost no official data or information about wage rates and number of permanent farm servants unlike wage rates of casual agricultural labourers as we have structured information regarding wage rates of casual agricultural labourers. The main objective of our study is to analyse the variation in the wage rates of permanent farm servants across different zones of Haryana. In closed village labour market, permanent farm servants are employed by generally big farmers for one year from May to April. The analysis of wage rates of permanent farm servants is based on the primary data of 220 randomly selected permanent farm servants from twenty-two villages of Haryana. One village is randomly selected from each district.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.092
GPT teacher head0.412
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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